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NEW QUESTION 49
What’s the magic of faceting?
- A. It shifts the time period of the chart you’re viewing.
- B. It turns the dataflow on and off.
- C. It creates a chart that shows all the faces of your data in a diamond chart.
- D. It binds charts together so that selecting something in one chart filters other charts by that choice.
Answer: D
NEW QUESTION 50
How can you restrict access to Analytics data at the row level?
- A. Manually add a flag to each row to prevent access.
- B. Use subtle thought control.
- C. Remove restricted rows from the JSON file.
- D. Use a security predicate to filter which rows are returned.
Answer: D
Explanation:
Reference:
Predicate is a name for a filter condition that defines row-level access to records in a dataset Example: “rowLevelSecurityFilter”:“‘AccountOwner’ == \”$User.Name\""
NEW QUESTION 51
The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.
Which two actions should a consultant take? Choose 2 answers
- A. Confirm that the overall GINI coefficient is good prior to deploying the story.
- B. Do not deploy the story immediately, and research why one fold is performing worse than the others.
- C. Deploy the story, because the variation in the metrics is within the normal range.
- D. Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.
Answer: A,B
NEW QUESTION 52
An Einstein Analytics consultant is notified of a performance issue with data sync (replication). The consultant researches the issue and determines that unnecessary data is being synced.
Which solution should the consultant implement to help improve data sync (replication) performance?
- A. Scale down the number of datasets to help improve data sync (replication) performance.
- B. Modify dataflows to exclude unused fields and include a filter to extract relevant data.
- C. Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data.
- D. Start over again with new dataflows that exclude unused fields with a filter to extract relevant data.
Answer: C
NEW QUESTION 53
The Universal Containers Einstein Analytics team built a dashboard with two widgets:
- List widget associated to the step “Type_2” and grouped by the dimension “Type” (multi-selection)
- Pie chart widget associated to the step “Step_pie_3” and grouped by the dimension “Type” The team wants to use bindings so any selection in the List widget will filter the Pie chart.
Additional notes:
- The steps use different datasets.
- Users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding?
A)
B)
C)
D)
- A. Option C
- B. Option D
- C. Option A
- D. Option B
Answer: A
NEW QUESTION 54
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